Davide Viviano
@vivianodavide.bsky.social
Assistant Professor at Harvard Econ. Previously: postdoc at Stanford GSB and UCSDEcon Phd. Econometrics and Data Science. Website: dviviano.github.io
The solution balances (i) variance over the smallest achievable variance and (ii) a sensitivity component that captures bias rescaled by its smallest attainable value. (ii) only depends on parameters known ex-ante without requiring priors on the bias. It formalizes trade-off betw/ variance and bias.
October 29, 2025 at 9:59 PM
The solution balances (i) variance over the smallest achievable variance and (ii) a sensitivity component that captures bias rescaled by its smallest attainable value. (ii) only depends on parameters known ex-ante without requiring priors on the bias. It formalizes trade-off betw/ variance and bias.
New Working Paper w/ Aristotelis Epanomeritakis
Applications often use experiments with other evidence to estimate counterfactuals hard to identify with a single experiment. Examples include GE effects or external validity. Which experiments to run (and how) in these contexts?
Applications often use experiments with other evidence to estimate counterfactuals hard to identify with a single experiment. Examples include GE effects or external validity. Which experiments to run (and how) in these contexts?
October 29, 2025 at 9:59 PM
New Working Paper w/ Aristotelis Epanomeritakis
Applications often use experiments with other evidence to estimate counterfactuals hard to identify with a single experiment. Examples include GE effects or external validity. Which experiments to run (and how) in these contexts?
Applications often use experiments with other evidence to estimate counterfactuals hard to identify with a single experiment. Examples include GE effects or external validity. Which experiments to run (and how) in these contexts?
How to design scientific communication when researchers have private incentives in how to conduct a research study (and/or in which statistics to report)? Exciting new project with Ravi Jagadeesan: dviviano.github.io/projects/pub...
April 29, 2025 at 8:54 PM
How to design scientific communication when researchers have private incentives in how to conduct a research study (and/or in which statistics to report)? Exciting new project with Ravi Jagadeesan: dviviano.github.io/projects/pub...
Can we tell from the data when and how treatment effects generalize across different individuals and contexts? Exciting new working paper, joint with Emily Breza and Arun G. Chandrasekhar that studies generalizability for applications to external validity, effect heterogeneity and model discovery
January 24, 2025 at 4:20 AM
Can we tell from the data when and how treatment effects generalize across different individuals and contexts? Exciting new working paper, joint with Emily Breza and Arun G. Chandrasekhar that studies generalizability for applications to external validity, effect heterogeneity and model discovery